J. W. Müller

1.3k total citations
27 papers, 890 citations indexed

About

J. W. Müller is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, J. W. Müller has authored 27 papers receiving a total of 890 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 12 papers in Atomic and Molecular Physics, and Optics and 5 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in J. W. Müller's work include Silicon and Solar Cell Technologies (20 papers), Semiconductor materials and interfaces (10 papers) and Thin-Film Transistor Technologies (10 papers). J. W. Müller is often cited by papers focused on Silicon and Solar Cell Technologies (20 papers), Semiconductor materials and interfaces (10 papers) and Thin-Film Transistor Technologies (10 papers). J. W. Müller collaborates with scholars based in Germany, France and Netherlands. J. W. Müller's co-authors include F. Kersten, Johannes Heitmann, P. Engelhart, K. Petter, F. Stenzel, A. A. Stekolnikov, Hans-Christoph Ploigt, Thomas Lindner, M. Bartzsch and P. Wawer and has published in prestigious journals such as ACS Energy Letters, Solar Energy Materials and Solar Cells and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

J. W. Müller

26 papers receiving 819 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J. W. Müller Germany 14 740 235 216 136 73 27 890
A.M. Omar Malaysia 17 330 0.4× 190 0.8× 110 0.5× 233 1.7× 66 0.9× 83 909
Sarah E. Sofia United States 10 368 0.5× 58 0.2× 115 0.5× 125 0.9× 14 0.2× 21 522
Hideaki Kawamura Japan 9 245 0.3× 234 1.0× 93 0.4× 157 1.2× 6 0.1× 33 563
Eric Burgess United States 12 356 0.5× 92 0.4× 165 0.8× 90 0.7× 16 0.2× 43 542
A. Pozza Italy 13 251 0.3× 142 0.6× 68 0.3× 15 0.1× 313 4.3× 30 543
J. Hassard United Kingdom 10 208 0.3× 28 0.1× 59 0.3× 213 1.6× 22 0.3× 20 551
Stephen U. Egarievwe United States 19 648 0.9× 77 0.3× 192 0.9× 166 1.2× 342 4.7× 82 851
F. Weschenfelder Germany 15 202 0.3× 53 0.2× 124 0.6× 277 2.0× 14 0.2× 34 696
Gary A. Glass United States 12 140 0.2× 35 0.1× 220 1.0× 126 0.9× 186 2.5× 65 679
A. Vasić Serbia 12 346 0.5× 26 0.1× 117 0.5× 152 1.1× 15 0.2× 40 437

Countries citing papers authored by J. W. Müller

Since Specialization
Citations

This map shows the geographic impact of J. W. Müller's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by J. W. Müller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. W. Müller more than expected).

Fields of papers citing papers by J. W. Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. W. Müller. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by J. W. Müller. The network helps show where J. W. Müller may publish in the future.

Co-authorship network of co-authors of J. W. Müller

This figure shows the co-authorship network connecting the top 25 collaborators of J. W. Müller. A scholar is included among the top collaborators of J. W. Müller based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. W. Müller. J. W. Müller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sveinbjörnsson, Kári, Bor Li, Silvia Mariotti, et al.. (2022). Monolithic Perovskite/Silicon Tandem Solar Cell with 28.7% Efficiency Using Industrial Silicon Bottom Cells. ACS Energy Letters. 7(8). 2654–2656. 50 indexed citations
2.
Fertig, Fabian, et al.. (2019). Excessive light-induced degradation in boron-doped Cz silicon PERC triggered by dark annealing. Solar Energy Materials and Solar Cells. 200. 109968–109968. 7 indexed citations
3.
Kersten, F., et al.. (2019). Stability investigations of Cz-PERC modules during damp heat testing and transport: The impact of the boron-oxygen defect. AIP conference proceedings. 2149. 90001–90001. 6 indexed citations
4.
Kersten, F., Fabian Fertig, K. Petter, et al.. (2017). Performance Loss Induced by LeTID in the Field. EU PVSEC. 1418–1421. 4 indexed citations
5.
Kersten, F., Fabian Fertig, K. Petter, et al.. (2017). System performance loss due to LeTID. Energy Procedia. 124. 540–546. 52 indexed citations
6.
Kersten, F., Johannes Heitmann, & J. W. Müller. (2016). Influence of Al2O3 and SiNx Passivation Layers on LeTID. Energy Procedia. 92. 828–832. 69 indexed citations
7.
Kersten, F., P. Engelhart, Hans-Christoph Ploigt, et al.. (2015). A new mc-Si degradation effect called LeTID. 1–5. 65 indexed citations
8.
Kersten, F., Alexander Schmid, Stefan Bordihn, J. W. Müller, & Johannes Heitmann. (2013). Role of Annealing Conditions on Surface Passivation Properties of ALD Al2O3 Films. Energy Procedia. 38. 843–848. 42 indexed citations
9.
Bordihn, Stefan, et al.. (2013). Surface Passivation and Simulated Performance of Solar Cells With Al $_{\bf 2}$O$_{\bf 3}$/SiN $_{\bm x}$ Rear Dielectric Stacks. IEEE Journal of Photovoltaics. 3(3). 970–975. 10 indexed citations
10.
Bordihn, Stefan, Verena Mertens, P. Engelhart, et al.. (2011). Large Area n-Type Cz Double Side Contacted Back-Junction Boron Emitter Solar Cell. EU PVSEC. 429–432. 5 indexed citations
11.
Mohr, Andreas, A. A. Stekolnikov, R. Seguin, et al.. (2011). Large area solar cells with efficiency exceeding 19% in pilot series designed for conventional module assembling. Energy Procedia. 8. 390–395. 7 indexed citations
12.
Engelhart, P., Joachim Wendt, C. Klenke, et al.. (2011). R&D pilot line production of multi-crystalline Si solar cells exceeding cell efficiencies of 18%. Energy Procedia. 8. 313–317. 32 indexed citations
13.
Kersten, F., Ronald J. Doll, D.M. Huljic, et al.. (2011). PV Learning Curves: Past and Future Drivers of Cost Reduction. EU PVSEC. 4697–4702. 33 indexed citations
14.
Engelhart, P., D. Manger, A. A. Stekolnikov, et al.. (2011). Q.ANTUM – Q-Cells Next Generation High-Power Silicon Cell & Module Concept. EU PVSEC. 821–826. 22 indexed citations
15.
Engelhart, P., G. Zimmermann, C. Klenke, et al.. (2011). R&D pilot-line production of multi-crystalline Si solar cells with top efficiencies exceeding 19%. 1919–1923. 5 indexed citations
16.
Allisy, A., W. A. Jennings, Albrecht M. Kellerer, et al.. (1998). 4. Dosimetry. os-31(1). 13–17.
17.
Müller, J. W., V. E. Lewis, Douglas R. Smith, John G. Taylor, & G. Winkler. (1994). 2. The Poisson Process. os-27(1). 3–11. 1 indexed citations
18.
Müller, J. W.. (1991). Can philosophy be of any use in counting statistics?. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 309(3). 555–559. 2 indexed citations
19.
Müller, J. W.. (1991). Generalized dead times. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 301(3). 543–551. 65 indexed citations
20.
Müller, J. W.. (1979). Some second thoughts on error statements. Nuclear Instruments and Methods. 163(1). 241–251. 37 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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